Mercurial > pylearn
comparison sparse_instance.py @ 400:269d5c5a4209
Cleaned up, added sparse_instance
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Tue, 08 Jul 2008 23:59:57 -0400 |
| parents | |
| children | 217c8789284b |
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| 399:8796b91a9f09 | 400:269d5c5a4209 |
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| 1 """ | |
| 2 Sparse instances. | |
| 3 Each instance is represented as dict with key dimension. | |
| 4 Dimensions not present in the dict have value 0. | |
| 5 """ | |
| 6 | |
| 7 from numpy import zeros | |
| 8 | |
| 9 def to_vector(instances, dimensions): | |
| 10 """ | |
| 11 Convert sparse instances to vectors. | |
| 12 @type instances: list of sparse instances | |
| 13 @param dimensions: The number of dimensions in each instance. | |
| 14 @rtype: numpy matrix (instances x dimensions) | |
| 15 """ | |
| 16 assert isinstance(instances, list) | |
| 17 v = zeros((len(instances), dimensions)) | |
| 18 l = len(instances) | |
| 19 for i in range(l): | |
| 20 for idx in instances[i].keys(): | |
| 21 v[i][idx] = instances[i][idx] | |
| 22 return v |